2017 Actuarial Evidence Seminar Wrap-up

By Matthieu Landry

The 2017 Actuarial Evidence (AE) Seminar featured a variety of sessions covering a wide-range of topics, including wrongful dismissal litigation, David Marshall’s review of the auto insurance system in Ontario, and the impact of modern technologies on the actuarial profession.

Artificial Intelligence

In his session, The Impact of Insurance Company Claims Department Analytics, Carl Lambert, vice-president, national P&C business intelligence at The Co-operators, demonstrated how artificial intelligence via machine learning is used to analyze data and assist with important actuarial tasks.

“The future of artificial intelligence via machine learning is exciting for the actuarial profession,” said Joseph Gabriel, CIA staff actuary, education. “By analyzing so much data effectively and efficiently, insurance claim assessments become more accurate—and this accuracy provides us [actuaries] the ability to detect inappropriate or fraudulent claims more easily, which in the end benefits both policyholders and insurers.”

Human Intelligence

David Marshall, former president and CEO of Ontario’s Workplace Safety and Insurance Board, presented on Fair Benefits Fairly Delivered, his review of the auto insurance system in Ontario. Part of his focus is on improving health outcomes for those injured in collisions while reducing insurance costs for Ontario drivers.

Other sessions provided an introduction to wrongful dismissal litigation and its role for actuarial experts, including managing these complex files in the corporate world. In addition, the AE seminar looked at actuarial evidence in tax cases, in situations where actuaries are called upon to provide advice either at the audit or appeals stage.

The AE Seminar continues to provide actuarial evidence practitioners quality continuing professional development and networking opportunities.

Matthieu Landry is senior coordinator, marketing at the CIA.

Canadian Institute of Actuaries/Institut canadien des actuaires